python 爬取快手个人主页视频

2021/12/23 17:13:49

本文主要是介绍python 爬取快手个人主页视频,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!

随便找个快手主页练习一下:查看元素

 

先用apipost 通过post方式测试一下接口是否能够跑通,然后点击右侧生成代码:

 可以生成python  curl请求接口的代码格式:

复制粘贴金编辑器里面:

from bs4 import BeautifulSoup   #引用BeautifulSoup库
import requests               #引用requests
import os                       #os
import pandas as pd
import csv
import codecs
import re
import xlwt #excel操作
import time
import json
from urllib import parse
from selenium import webdriver

# 视频的URL : Request URL: 
cookies = {
    'did': 'web_79a2acd64d164a82990e9e48130c0268',
    'didv': '1637038675000',
    'kpf': 'PC_WEB',
    'kpn': 'KUAISHOU_VISION',
    'clientid': '3',
    'client_key': '65890b29',
}
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36',
    'Content-Type': 'application/json',
}
data = '{ "operationName": "visionProfilePhotoList", "variables": { "userId": "3xp69ce4tkncydg", "pcursor": "", "page": "profile" }, "query": "query visionProfilePhotoList($pcursor: String, $userId: String, $page: String, $webPageArea: String) {\\n visionProfilePhotoList(pcursor: $pcursor, userId: $userId, page: $page, webPageArea: $webPageArea) {\\n result\\n llsid\\n webPageArea\\n feeds {\\n type\\n author {\\n id\\n name\\n following\\n headerUrl\\n headerUrls {\\n cdn\\n url\\n __typename\\n }\\n __typename\\n }\\n tags {\\n type\\n name\\n __typename\\n }\\n photo {\\n id\\n duration\\n caption\\n likeCount\\n realLikeCount\\n coverUrl\\n coverUrls {\\n cdn\\n url\\n __typename\\n }\\n photoUrls {\\n cdn\\n url\\n __typename\\n }\\n photoUrl\\n liked\\n timestamp\\n expTag\\n animatedCoverUrl\\n stereoType\\n videoRatio\\n profileUserTopPhoto\\n __typename\\n }\\n canAddComment\\n currentPcursor\\n llsid\\n status\\n __typename\\n }\\n hostName\\n pcursor\\n __typename\\n }\\n}\\n" }'

response = requests.post('https://www.kuaishou.com/graphql', headers=headers, cookies=cookies, data=data)

data_json = response.json()#解析json字符串格式
data_list = data_json['data']['visionProfilePhotoList']['feeds']#根据解析的数组找到列表
for data in data_list:
    title = data['photo']['caption']#视频名称
    new_title = re.sub(r'[\/\\\:;\*#¥%$!@^……&()\?\"\<\>\|]', '_', title)#正则替换掉特殊符号生的报错
    photoUrl = data['photo']['photoUrl']
    # print(title, url_1)
    #https://v2.kwaicdn.com/upic/2021/12/21/20/BMjAyMTEyMjEyMDE1MTFfMTE1OTYxMDYyM182MzI0NjQzODAwMV8xXzM=_b_Bab5f65132c16fc17452d4acb7d135c71.mp4
    #?pkey=AAUgxwI4RONXKIiP_Py40aJlX4ruOXWkEvshsbJzwBadL1D6DtsD0EPYTsH5VqSr9pRHiuPxnY5OPq98rRXLOHnB_MsNuT7TeSfn7WkAf6U8lqUgIdr_YxSJoCyhRxPK0og
    #&tag=1-1640240960-xpcwebprofile-0-u9e6n664af-c9b8d472abebf4e4&clientCacheKey=3xsbrqcnr28ucda_b.mp4&tt=b&di=274b47ea&bp=14734
    content = requests.get(photoUrl).content#获取视频二进制内容后通过下面方法下载
    with open('./liutao/video/' + new_title + '.mp4', mode='wb') as f:
        f.write(content)
        print(new_title, '爬取成功!!!')
print("wancheng")

 

 

案例实现步骤:

  1. 找到目标网址 https://www.kuaishou.com/graphql
  2. 发送请求 get post
  3. 解析数据 (视频地址 视频标题)
  4. 发送请求 请求每一个视频的地址
  5. 保存视频

开始实现代码

1. 导入模块

import requests
import pprint
import json
import re

2. 请求数据

headers = {
    # data内容类型
    # application/json: 传入json类型数据 json 浏览器跟 快手服务器 交流(数据传输格式)的方式
    # 默认格式: application/x-www-form-urlencoded
    'content-type': 'application/json',
    # cookie: 用户身份标识 有没有登录
    'Cookie': 'did=web_53827e0b098c608bc6f42524b1f3211a; didv=1617281516668; kpf=PC_WEB; kpn=KUAISHOU_VISION; clientid=3',
    # User-Agent: 浏览器信息(用来伪装成浏览器)
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36',
}
data = {
    'operationName': "visionSearchPhoto",
    'query': "query visionSearchPhoto($keyword: String, $pcursor: String, $searchSessionId: String, $page: String, $webPageArea: String) {\n  visionSearchPhoto(keyword: $keyword, pcursor: $pcursor, searchSessionId: $searchSessionId, page: $page, webPageArea: $webPageArea) {\n    result\n    llsid\n    webPageArea\n    feeds {\n      type\n      author {\n        id\n        name\n        following\n        headerUrl\n        headerUrls {\n          cdn\n          url\n          __typename\n        }\n        __typename\n      }\n      tags {\n        type\n        name\n        __typename\n      }\n      photo {\n        id\n        duration\n        caption\n        likeCount\n        realLikeCount\n        coverUrl\n        photoUrl\n        liked\n        timestamp\n        expTag\n        coverUrls {\n          cdn\n          url\n          __typename\n        }\n        photoUrls {\n          cdn\n          url\n          __typename\n        }\n        animatedCoverUrl\n        stereoType\n        videoRatio\n        __typename\n      }\n      canAddComment\n      currentPcursor\n      llsid\n      status\n      __typename\n    }\n    searchSessionId\n    pcursor\n    aladdinBanner {\n      imgUrl\n      link\n      __typename\n    }\n    __typename\n  }\n}\n",
    'variables': {
        'keyword': keyword,
        'pcursor': str(page),
        'page': "search"
# 发送请求
response = requests.post('https://www.kuaishou.com/graphql', headers=headers, data=data)



解析数据

for page in range(0, 11):
    print(f'-----------------------正在爬取{page+1}页----------------------')
    json_data = response.json()
    data_list = json_data['data']['visionSearchPhoto']['feeds']
    for data in data_list:
        title = data['photo']['caption']
        url_1 = data['photo']['photoUrl']
        new_title = re.sub(r'[/\:*?"<>|\n]', '_', title)
        # print(title, url_1)
        # content: 获取到的二进制数据
        # 文字 text
        # 图片 视频 音频 二进制数据
        content = requests.get(url_1).content

保存数据

with open('./video/' + new_title + '.mp4', mode='wb') as f:
    f.write(content)
print(new_title, '爬取成功!!!')

 

 

 

Response对象的属性

 

 

4、理解Requests库的异常

 

 



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